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检索条件"主题词=evolutionary Algorithms"
12066 条 记 录,以下是4811-4820 订阅
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Integration of a physical system, machine learning, simulation, validation and control systems towards symbiotic model engineering  2
Integration of a physical system, machine learning, simulati...
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2nd Symposium on Modeling and Simulation of Complexity in Intelligent, Adaptive and Autonomous Systems 2017, MSCIAAS 2017, Part of the 2017 Spring Simulation Multi-Conference, SpringSim 2017
作者: Bohlmann, Sebastian Klinger, Volkhard Szczerbicka, Helena Institute of Applied Mathematics Gottfried Wilhelm Leibniz University Hannover Welfengarten 1 HannoverD-30167 Germany Department of Embedded Systems and Information Engineering FHDW Hannover Freundallee 15 HannoverD-30173 Germany Department of Simulation and Modelling Gottfried Wilhelm Leibniz University Hannover Welfengarten 1 HannoverD-30167 Germany
System simulation without detailed prior knowledge or data of the system is a complex challenge. In this paper we present an approach to automatically generate a model on the fly in a symbiotic way. Basically the data... 详细信息
来源: 评论
evolutionary and classification methods for local labor markets delineation
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COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY 2016年 第4期22卷 444-466页
作者: Pilar Alonso, M. Asuncion Beamonte, M. Gargallo, Pilar Salvador, Manuel Univ Lleida Fac Lletres Geog Lleida Spain Univ Zaragoza Fac Econ & Empresa Stat & Operat Res Zaragoza Spain
This paper proposes some new evolutionary and classification methods for the delineation of local labor markets (LLMs) in areas where there are a large number of small localities with little labor interaction. The evo... 详细信息
来源: 评论
An evolutionary algorithm for global optimization based on self-organizing maps
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ENGINEERING OPTIMIZATION 2016年 第10期48卷 1740-1758页
作者: Barmada, Sami Raugi, Marco Tucci, Mauro Univ Pisa Dept Energy Syst Terr & Construct Engn Pisa Italy
In this article, a new population-based algorithm for real-parameter global optimization is presented, which is denoted as self-organizing centroids optimization (SOC-opt). The proposed method uses a stochastic approa... 详细信息
来源: 评论
RISK EFFICIENCY OF OPTIMAL WATER ALLOCATION WITHIN A SINGLE AND MULTI-STAGE DECISION-MAKING FRAMEWORK
RISK EFFICIENCY OF OPTIMAL WATER ALLOCATION WITHIN A SINGLE ...
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作者: PRIMROSE MADENDE University Of The Free State
学位级别:硕士
The main objective of this research was to compare the results obtained from modelling irrigation water allocation decisions within a single-stage decision-making framework with the results obtained within a multi-sta... 详细信息
来源: 评论
Co-Processor for evolutionary full decision tree induction
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MICROPROCESSORS AND MICROSYSTEMS 2016年 第PartB期45卷 253-269页
作者: Vukobratovic, Bogdan Z. Struharik, Rastislav J. R. Univ Novi Sad Fac Tech Sci Trg Dositeja Obradov 6 Novi Sad 21000 Serbia
In this paper a co-processor for the hardware aided decision tree induction using evolutionary approach (EFTIP) is proposed. EFTIP is used for hardware acceleration of the fitness evaluation task since this task is pr... 详细信息
来源: 评论
A cycle-based evolutionary algorithm for the fixed-charge capacitated multi-commodity network design problem
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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2016年 第2期253卷 265-279页
作者: Paraskevopoulos, Dimitris C. Bektas, Tolga Crainic, Teodor Gabriel Potts, Chris N. Univ Bath Sch Management Bath BA2 7AY Avon England Univ Southampton Southampton Business Sch CORMSIS Southampton SO17 1BJ Hants England Univ Quebec Ecole Sci Gest Dept Management & Technol Interuniv Res Ctr Enterprise Networks Logist & Tr CP 8888Succ Ctr Ville Montreal PQ H3C 3P8 Canada Univ Southampton CORMSIS Math Sci Southampton SO17 1BJ Hants England
This paper presents an evolutionary algorithm for the fixed-charge multicommodity network design problem (MCNDP), which concerns routing multiple commodities from origins to destinations by designing a network through... 详细信息
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evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy
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APPLIED SOFT COMPUTING 2016年 38卷 714-726页
作者: Krawczyk, Bartosz Galar, Mikel Jelen, Lukasz Herrera, Francisco Wroclaw Univ Technol Dept Syst & Comp Networks PL-50370 Wroclaw Poland Univ Publ Navarra Dept Automat & Comp Pamplona Spain Wroclaw Univ Technol Inst Comp Engn Control & Robot PL-50370 Wroclaw Poland Univ Granada Dept Comp Sci & Artificial Intelligence Granada Spain King Abdulaziz Univ Fac Comp & Informat Technol North Jeddah Jeddah 21589 Saudi Arabia
In this paper, we propose a complete, fully automatic and efficient clinical decision support system for breast cancer malignancy grading. The estimation of the level of a cancer malignancy is important to assess the ... 详细信息
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A bio-inspired evolutionary algorithm: allostatic optimisation
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INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2016年 第3期8卷 154-169页
作者: Osuna-Enciso, Valentin Cuevas, Erik Oliva, Diego Sossa, Humberto Perez-Cisneros, Marco Univ Guadalajara Centro Univ Tonala Div Ciencias Guadalajara 44430 Jalisco Mexico Univ Guadalajara Ctr Univ Ciencias Exactas & Ingn Div Elect Guadalajara 44430 Jalisco Mexico Univ Complutense Fac Informat Dept Ingn Software & Inteligencia Artificial E-28040 Madrid Spain Inst Politecn Nacl CIC Ave Juan de Dios Batiz S-N Mexico City DF Mexico
Over the last decade, several bio-inspired algorithms have emerged for solving complex optimisation problems. Since the performance of these algorithms present a suboptimal behaviour, a tremendous amount of research h... 详细信息
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Joint optimization of a Microgrid's structure design and its operation using a two-steps evolutionary algorithm
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ENERGY 2016年 94卷 775-785页
作者: Mallol-Poyato, R. Jimenez-Fernandez, S. Diaz-Villar, P. Salcedo-Sanz, S. Univ Alcala Dept Signal Theory & Commun Madrid 28871 Spain
In this paper a novel problem in MGs (Migrogrids) is analyzed. The problem consists in the joint optimization of the MG structure and operation, by obtaining on the one hand an optimal sizing of its elements and struc... 详细信息
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An evolutionary Technique for Performance-Energy-Temperature Optimized Scheduling of Parallel Tasks on Multi-Core Processors
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IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2016年 第3期27卷 668-681页
作者: Sheikh, Hafiz Fahad Ahmad, Ishfaq Fan, Dongrui Univ Texas Arlington Dept Comp Sci & Engn 500 UTA Blvd Arlington TX 76019 USA Chinese Acad Sci SKL Comp Architecture Inst Comp Technol 6 Kexueyuan South Rd Zhongguancun Beijing 100190 Peoples R China
This paper proposes a multi-objective evolutionary algorithm (MOEA)-based task scheduling approach for determining Pareto optimal solutions with simultaneous optimization of performance (P), energy (E), and temperatur... 详细信息
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